Maximilian Alber

1.5k total citations
13 papers, 159 citations indexed

About

Maximilian Alber is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Maximilian Alber has authored 13 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cancer Research. Recurrent topics in Maximilian Alber's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Law, AI, and Intellectual Property (2 papers). Maximilian Alber is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Law, AI, and Intellectual Property (2 papers). Maximilian Alber collaborates with scholars based in Germany, South Korea and United Kingdom. Maximilian Alber's co-authors include Klaus‐Robert Müller, Frederick Klauschen, Philipp Jurmeister, Michael Bockmayr, Andreas Möck, Grégoire Montavon, Lukas Ruff, Peter Schirmacher, Jochen K. Lennerz and Jan Budczies and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Cancer.

In The Last Decade

Maximilian Alber

10 papers receiving 154 citations

Peers

Countries citing papers authored by Maximilian Alber

Since Specialization

Citations

This map shows the geographic impact of Maximilian Alber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maximilian Alber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Alber more than expected).

Fields of papers citing papers by Maximilian Alber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maximilian Alber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maximilian Alber. The network helps show where Maximilian Alber may publish in the future.

Co-authorship network of co-authors of Maximilian Alber

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Alber. A scholar is included among the top collaborators of Maximilian Alber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maximilian Alber. Maximilian Alber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Dissecting AI-based mutation prediction in lung adenocarcinoma: A comprehensive real-world study 2024 ·European Journal of Cancer ·(unknown), (unknown), Lukas Ruff, Maximilian Alber, (unknown), Simon Schallenberg, Petros Christopoulos, Cleo‐Aron Weis, Thomas Muley, Marc A. Schneider, Peter Schirmacher, Mike Thomas, Klaus‐Robert Müller, Jan Budczies, (unknown), Frederick Klauschen	2
2	Leveraging weak complementary labels enhances semantic segmentation of hepatocellular carcinoma and intrahepatic cholangiocarcinoma 2024 ·Scientific Reports ·(unknown), (unknown), Lukas Ruff, Maximilian Alber, Simon Schallenberg, Adrien Guillot, Christoph Roderburg, Frank Tacke, Frederick Klauschen	1
3	Toward Explainable Artificial Intelligence for Precision Pathology 2023 ·Annual Review of Pathology Mechanisms of Disease ·Frederick Klauschen, (unknown), (unknown), Philipp Jurmeister, Michael Bockmayr, Andreas Möck, (unknown), Maximilian Alber, Lukas Ruff, Grégoire Montavon, Klaus‐Robert Müller	57
4	Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights 2022 ·Neuropathology and Applied Neurobiology ·Leonille Schweizer, Philipp Seegerer, (unknown), (unknown), (unknown), (unknown), Anja Osterloh, Carsten Dittmayer, (unknown), Debora Pehl, Annekathrin Reinhardt, Klemens Ruprecht, Werner Stenzel, Annika K. Wefers, Patrick N. Harter, Ulrich Schüller, Frank L. Heppner, Maximilian Alber, Klaus‐Robert Müller, Frederick Klauschen	4
5	Deep Learning Assisted Diagnosis of Onychomycosis on Whole-Slide Images 2022 ·Journal of Fungi ·Philipp Jansen, (unknown), (unknown), Amrei Dilling, Ana Piña, Andrea Saggini, Tobias Schimming, Jennifer Landsberg, (unknown), (unknown), Hansgeorg Müller, Michael Emberger, Christian Rosé, Lutz Schmitz, Cyrill Géraud, Dirk Schadendorf, Jörg Schaller, Maximilian Alber, Frederick Klauschen, Klaus Griewank	17
6	Clarifying Assumptions About Artificial Intelligence Before Revolutionising Patent Law 2022 ·GRUR International ·(unknown), Maximilian Alber, (unknown), Jelena Mitrović, Cristian Ramirez‐Atencia, (unknown), Heiner Zille	0
7	Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling 2021 ·Seminars in Cancer Biology ·Albrecht Stenzinger, Maximilian Alber, Michael Allgäuer, Philipp Jurmeister, Michael Bockmayr, Jan Budczies, Jochen K. Lennerz, (unknown), Daniel Kazdal, Peter Schirmacher, Alex H. Wagner, Frank Tacke, David Capper, Klaus‐Robert Müller, Frederick Klauschen	56
8	Ten Assumptions About Artificial Intelligence That Can Mislead Patent Law Analysis 2021 ·SSRN Electronic Journal ·(unknown), Maximilian Alber, (unknown), Jelena Mitrović, Cristian Ramirez‐Atencia, (unknown), Heiner Zille	1
9	Explanations can be manipulated and geometry is to blame 2019 ·Neural Information Processing Systems ·(unknown), Maximilian Alber, Christopher J. Anders, Marcel R. Ackermann, Klaus‐Robert Müller, Pan Kessel	10
10	EP-1606: Probabilistic Planning Concept instead of Target Volume Margins - Prospective evaluation 2018 ·Radiotherapy and Oncology ·(unknown), Bernhard Berger, (unknown), Daniel Zips, (unknown), (unknown), Daniela Thorwarth, Maximilian Alber, O. Dohm, (unknown)	1
11	An Empirical Study on The Properties of Random Bases for Kernel Methods 2017 ·neural information processing systems ·Maximilian Alber, (unknown), Kristof T. Schütt, K. Müller, Fei Sha	0
12	Distributed optimization of multi-class SVMs 2017 ·PLoS ONE ·Maximilian Alber, (unknown), Ürün Doǧan, Marius Kloft	8
13	Experiences in integration and reuse of CORBA-interfaced software with directory services and Web services 2004 ·(unknown), Maximilian Alber, (unknown), Karl M. Goeschka	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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